Abstract
Assigning appropriate values to parameters in image processing is a challenge for users. This paper proposes a new approach based on multi-agent system using reinforcement learning to find the best values to assign to each parameter in an image processing task. On one hand, the theoretical foundations give our approach a great robustness, on the other hand the experimental results demonstrate its effectiveness.
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Qaffou, I. (2022). Adaptive Image Processing Using Multi-agent Reinforcement Learning. In: Kacprzyk, J., Balas, V.E., Ezziyyani, M. (eds) Advanced Intelligent Systems for Sustainable Development (AI2SD’2020). AI2SD 2020. Advances in Intelligent Systems and Computing, vol 1418. Springer, Cham. https://doi.org/10.1007/978-3-030-90639-9_40
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DOI: https://doi.org/10.1007/978-3-030-90639-9_40
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